AndreaBozzo/ceres-open-data-index huggingface dataset:
Enquete socio-économique contractualisation agro-environnementale collective - Hautes-Pyrénées, France - 2020

[Lien vers la fiche source] Le domaine pastoral des Hautes-Pyrénées s’étend sur plus de 140 000 ha et est utilisé de façon collective par près de 1 200 éleveurs de début juin à fin octobre. La gestion de ces territoires, appartenant quasi exclusivement aux collectivités locales, est assurée par différentes entités : communes, commissions syndicales, syndicats, Groupements pastoraux, Associations Foncières Pastorales. Ces gestionnaires d’estives (GE) organisent l’accueil des troupeaux, assurent la majorité des travaux pastoraux et les opérations de gestion. Pour ce faire, ils disposent de diverses ressources : taxes de pâturage (baccades), bénévolat, subventions et contrats agri-environnementaux. La contractualisation agri-environnementale dans le cadre du 2eme pilier de la Politique Agricole Commune (PAC) date de plus de trente ans et prend la forme entre 2015 et 2023 de mesures agro-environnementale et climatiques (MAEC). Ces mesures souscrites volontairement par des exploitations agricoles ou des entités collectives (i.e. les GE dans notre cas) pour une durée de 5 ans, ont pour objectif de soutenir des changements de pratiques en faveur de la protection de l’environnement (MAEC localisées: Ouvert03 ou Herbe09 ) ou le maintien de pratiques (MAEC système herbagers et pastoraux - SHP). Cette enquête s’inscrit dans le projet de recherche-action Contracts2.0 (Co-design of novel contract models for innovative agri-environmental-climate measures and valorisation of environmental public goods) financé par la Commission Européenne. Le CIRAD a travaillé avec le Groupement d’intérêt public CRPGE (Centre de Ressources sur le Pastoralisme et la Gestion de l’Espace) des Hautes Pyrénées pour étudier l’effet des mesures agro-environnementales sur la gestion collective des estives, et la mise en place avec les acteurs de terrain de dispositifs de concertation pour envisager l’évolution de ces contrats. Les objectifs de l'enquête étaient de : - Identifier les trajectoires de contractualisation agri-environnementale de 130 GE des Hautes –Pyrénées et les mettre en regard des caractéristiques des estives (taille, hétérogénéité spatiale, statut, ..). - Analyser les modalités de la contractualisation (nombre de contractants, zones contractées, redistribution des paiements, ..) ainsi que l’utilisation faite des paiements. - Analyser les attendus/ objectifs de la contractualisation, du point de vue des GE, les difficultés rencontrées et les adaptations réalisées.
Risk assessment of HPAI H5 viruses spread within French broiler and layer production networks

[Lien vers la fiche source] This repository contains data and script to assess the risk of highly pathogenic avian influenza H5 viruses within the French broiler production networks. After drawing up a scenario tree of virus transmission from one farm to another, data were collected through a literature review or through experts’ elicitation. Three questionnaires were developed according to the experts’ field of expertise: avian influenza, broiler and layer sectors. The dataset provide the data ready for analysis and the scripts used to combined the data. The experts’ estimates were combined using a beta distribution weighted by their confidence level. A Monte Carlo iteration process was used to combine the different probabilities of the scenario tree and to assess the transmission risk.
Service Crops characterization in Mediterranean Vineyards

[Lien vers la fiche source] This dataset corresponds to the data used in the article whose full title is: Assessing the Multifunctionality of Service Crops in Mediterranean Vineyards Using a Functional Trait Approach and Short title is Trait-Based Multifunctionality of Service Crops in Vineyards submitted by Léo Garcia, Aurélie Metay and Gaëlle Damour in March 2025 to Plos One. This dataset includes biomass data, mean trait values of the species found in the inter-rows, community-weighted means, and field-measured ecosystem functions of the service crops grown at Domaine du Chapitre in Villeneuve-lès-Maguelone, France, during the PhD research of Léo Garcia (2015-2018).
Unlabeled corpora for post-training Language Models on thematic and misinformation classification in a One Health context

[Lien vers la fiche source] This repository contains four corpora of unlabeled texts used to post-training language models based on selective masking to adapt them to targeted domains within the One Health context. The corpora comprise collections of unannotated texts generally sourced from PubMed and PADI-web, representing two main areas of application: (i) thematic content related to the One Health domain, covering the biomedical, phytosanitary, and syndromic surveillance fields, and (ii) epidemic misinformation. The repository contains 4 files: 1. PubMed Biomedical_snippets: 10,000 English abstracts of biomedical articles, extracted from the [PubMed Article Summarization Dataset ] 2. PubMed Plant Health_snippet: 9,388 English abstracts of PubMed articles on plant health, collected by us through web scraping, selecting abstracts with titles and content containing keywords related to plant health (e.g., plant diseases and plant names). 3. PADI-web Unspecified Diseases_snippet: 8,000 English news articles dedicated to syndromic surveillance (i.e., articles describing unknown diseases and symptoms), collected from the PADI-web tool ([https://padi-web.cirad.fr/en]). 4. PADI-web Public Health_snippet: 10,000 English news articles on human epidemics (e.g., Influenza and Ebola), used for the epidemic misinformation domain. The complete corpora are available under restricted access, while the open-access versions contain only snippets from each corpus.
Isohyets of annual rainfall map of Africa

[Lien vers la fiche source] Result of a long experience in cooperation with the African meteorological departments and of the management of data bases, this map displays the annual rainfalls over a 60-year period. Maps representing rainfall over the whole African continent are rare, and a map dealing with observed rainfall over such a long period has never been released. Measurements of almost 6,000 raingauges were used for the calculation of mean values. This dataset contains in shapefiles format ArcGis : * 1-isohyets of the annual Rainfall Map of Africa * 2-isohyets that show the shifting of the isohyetal lines on the small map . * Grids of rainfall at a step of half square degree and at a monthly time step are provided on the website of SIEREM (Environmental Information System for Water Resources and Modelling).
Data for the publication entitled: Competition and site weakly explain tree growth variability in undisturbed Central African moist forests

[Lien vers la fiche source] This is a dataset repository for the manuscript: * Gourlet-Fleury, S. Rossi, V., Forni, E., Allah-Barem, F., Baya, F., Bénédet, F., Boyemba, F., Cornu, G., Doucet, J.L., Fayolle, A., Gillet, J.F., Ligot, G., Mazengue, M., Mbasi Mbula M., Van Hoef, Y., Zombo, I., Freycon, V. (2023), Data for the publication entitled: Competition and site weakly explain tree growth variability in undisturbed Central African moist forests. J Ecol, in press.
Guyafor network, permanent forest plots for long-term monitoring of French Guiana's forest ecosystems

[Lien vers la fiche source] Guyafor is a network of permanent forestry plots installed in French Guiana, dedicated to the long-term study of forest dynamics and biodiversity. The main objectivs of this network, co-managed by research organizations (CIRAD and CNRS) and by the manager of French Guiana’s forests (ONF), are : The structural and floristic organization along environmental gradients The long-term forest dynamics of natural and exploited forests by focusing on the roles of demographic processes (regeneration, growth and mortality), the carbon cycle of the living above-ground biomass and the effects of climate change.
Paracou Disturbance Experiment - Control Plots

[Lien vers la fiche source] [Paracou Research Station]. In 1984, the Cirad team set up 12 square 9ha plots, among which 9 were subjected to logging induced disturbances in 1986-1988. The control plots have not been impacted. [Guyafor network]; [Guyafor Data Dictionary] ; [Paracou Forest Plots Details]
Measuring Amazon rainfall intensity with sound recorders: data and code

[Lien vers la fiche source] Many regions still lack a network of ground weather observations, hampering effective climate monitoring and disaster management. In the Amazon basin, this occurs due to its remoteness and the challenging measurement of rainfall within the forest. Innovative rainfall estimation methods are thus requested to fulfill this gap. Our approach allows to estimate rainfall based on a sound recorder fixed on a tree trunk and supervised machine learning. The method is very promising for future weather monitoring of remote tropical areas. This dataset provides all data used in the paper “Measuring Amazon rainfall intensity with sound recorders”, as well as three sample audio recordings, used for the plotting of Figure 2. These files can also be used to extract the frequency range associated with the power spectrum density values. Contents - SMM00894_20230510_224500.wav represents a light rainfall recording - SMM00894_20230510_225500.wav represents a heavy rainfall recording - SMM00894_20230510_223500.wav represents an audio without rainfall - data used for training the models - Jupyter Notebook (code).
STAR-FARM - Workshop Data: Co-construction of datasets dealing with agroecology practices in the Mekong Delta

[Lien vers la fiche source] The STAR-FARM Workshop, held on October 22–23, 2025, at Can Tho University, Vietnam, marked a key milestone in advancing international collaboration at the crossroads of agroecology, artificial intelligence (AI), and participatory science. Jointly organized by CIRAD, IRD, FAO, and Can Tho University, the event gathered experts from Southeast Asia and Europe to co-construct multilingual datasets and lexicons capturing agroecological practices and innovation processes in the Mekong Delta. Over two dynamic days, participants explored how AI-driven text mining and participatory methods could enhance access to and understanding of agricultural knowledge. Core activities included lexicon development, corpus annotation, evaluation of AI tools, and discussions on open-access strategies. Beyond its technical outputs, the workshop served as a vibrant forum for intercultural dialogue, debating key notions such as community-driven innovation, local knowledge systems, and the ethical use of AI in research. The workshop’s outcomes, particularly the creation of the STAR-FARM Lexicon and annotated corpora, lay the foundation for long-term cooperation, capacity building, and open science in the region. By blending technological innovation with participatory values, STAR-FARM exemplifies how AI can empower local communities and foster sustainable, inclusive agricultural transformation across the Mekong Delta and beyond.
Diagnostic of agricultural production systems in the Lake Guiers area, Senegal

[Lien vers la fiche source] The dataset was constructed from surveys of 310 farmers operating in irrigated agricultural zones surrounding Lake Guiers in northern Senegal. The survey was carried out from the 09 to the 20 of March 2023, using KoboToolbox, with a questionnaire aiming at collecting information about: 1) farmers’ agricultural practices with a particular focus on pesticides and fertilizers use; 2) their socio-economic environment; 3) their perception of changes of climatic conditions and biotic pressures within agroecosystems and production limiting factors; 4) and the level of integration of agroecological practices in their systems. Farmers were selected to represent the main agricultural systems and cover the entire lake region. The dataset provides the first comprehensive description of farming systems and agroecological practices around Lake Guiers, offering a robust basis to analyze their diversity, dynamics, and environmental performance. It can serve as both a cross-sectional baseline and a reference for future longitudinal studies, supporting econometric, ecological, and policy analyses aimed at guiding the agroecological transition and informing sustainable land and water management in sub-Sahelian contexts.
Hunting offtake dataset of the project "Sustainable Wildlife Management" in Gabon (Mulundu Department).

[Lien vers la fiche source] This anonymized dataset describes the implementation of 12,951 hunting sessions undertaken by 325 hunters from 10 village communities located in Mulundu Department (Ogooué-Lolo Province, East Gabon). This dataset was collected as part of the EU Sustainable Wildlife Management Programme in Gabon from March 2019 to September 2022 (42 months). This dataset includes data on the * period, duration and description of each hunting session. * content of the hunting bag for each session (18,018 catches). * species, sex and age class of the catches (59 species). * use, price and destination of the hunting products. List of variables in the dataset: * For each hunting session : * Hunting session ID * Locality (10 modalities - anonymous) * Hunter ID (325 modalities - anonymous) * Motivation (subsitence, trade, ceremony, order, other) * Hunting mode (gun, snare, dog, pick-up, other) * Mode of travel (foot, car, boat, other) * Campsite use (Y/N) * Number of carriers accompanying the hunter * Number of cartridges taken * Number of cartridges used * Hunting start date & time * Hunting return date & time * GPS ID (around 30% of the hunting sessions were GPS-tracked at 30 seconds fix-interval and ar. 5000 catches geolocated / in process / unpublished data) * Offtake (Y/N) * Offtake (number of animals catched during the hunting session) * For each catch: * Species french name * Species latin name * Catch ID * Date and time of the catch * Hunting mode (gun, snare, dog, pick-up, other) * Meat quality (fresh, smoked, rotten) * Sex of the catch * Age of the catch (adult, juvenile) * Packing (whole, pieces) * For each piece: * Piece ID * Piece type * Weight * Meat use (eaten, given, sold, other) * Price (XFA) * Destination (location) This set-up is ongoing at the time of publication of this article and updates will follow.
A global database on land use and management change effects on soil KMnO4-oxidisable organic carbon (POXC)

[Lien vers la fiche source] Soil carbon transformation is vital for ecosystem functions like food production and climate regulation. While soil organic carbon is a key soil health indicator, its sensitivity to management changes is debated. Alternative indicators, such as permanganate-oxidisable carbon (POXC), are being explored. This database compiles 10,068 comparisons of soil POXC content from 284 peer-reviewed studies published up to 2023, covering 45 countries and 63 land use types, including arable land, grassland, agroforestry, and forests. Most studies focused on arable land (n = 7,809), examining input changes (n > 500) and tillage intensity (n > 200). The most studied land-use changes were grassland conversion to arable land (n = 324) and vice versa (n = 261). The dataset includes rich metadata on geographical context, soil types, key properties (pH, clay content), POXC protocols, and data quality scores. This resource supports scientific and policy discussions on POXC’s potential as a practical indicator for improving land use and soil health management.
Code for: Spatial scenario of tropical deforestation and carbon emissions for the 21st century

[Lien vers la fiche source] This dataset includes the code used to produce the results of the following scientific article: Vieilledent G., C. Vancutsem, C. Bourgoin, P. Ploton, P. Verley and F. Achard. Spatial scenario of tropical deforestation and carbon emissions for the 21^{st} century. bioRxiv. doi: [10.1101/2022.03.22.485306]. A development version of this code is available on GitHub: [ghislainv/forestatrisk-tropics].
BVLAC corpus - Extracted Data

[Lien vers la fiche source] [FR] Dans le cadre du projet SONGES sur la mise en correspondance de données textuelles massives et hétérogènes, nous élaborons des modèles de représentation de données ainsi que des mesures de similarité à partir d’indicateurs trouvés dans les textes (thématiques, spatiaux et temporels). L’objectif est d’organiser et valoriser des ensembles de données dans leurs dimensions hétérogènes et massives. Parmi les données exploitées, nous travaillons sur un ensemble de données produites dans le cadre du projet BVLAC, un projet mené par le CIRAD qui promeut des techniques agricoles issues de l’agroécologie à Madagascar. Ce dépôt rassemble les données brutes extraites à partir du corpus BVLAC. Les données contenus dans l'archive sont : * Les données pour chaque document (*.txt) * dans "association‧json" : le nom des fichiers originaux pour chaque identifiant * dans "association_lang‧json" : langue utilisée dans chaque document [EN] As part of the SONGES project on the matching of massive and heterogeneous textual data, we are developing data representation models and similarity measures based on indicators found in the texts (thematic, spatial and temporal). The objective is to organize and valorize data sets in their heterogeneous and massive dimensions. Among the data used, we are working on a dataset produced as part of the BVLAC project, a project led by CIRAD that promotes agricultural techniques derived from agroecology in Madagascar. This repository contains the raw data extracted from the BVLAC corpus. The data contained in the archive are: * Data for each document (*.txt) * in "association‧json" : the name of the original files for each identifier * in "association_lang‧json" : language used in each document
Family farming in Santarém region, Brazilian Amazon: survey with rural community representatives (Odyssea project, 2019)

[Lien vers la fiche source] This data was collected during the project Odyssea - Observatory of the Dinamics of Societies and Environments in the Amazon. Through a partnership with Family Farmer Unions (STTR), community researchers realized surveys with kobotoolbox application in 32 rural communities in the Santarem Planalto, in April-June 2019. The research, built through a citizen science process, involving farmer unions and community leaders, aimed at understanding the impact on smallholders of global changes, in particular agrobusiness pressure (soy).
Floral traits of nineteen Mediterranean weed species

[Lien vers la fiche source] The data set describes the floral phenotypes and phenology of 19 common weed species found in olive groves and vineyards in southern France (Occitanie region). In total, 15 floral traits and 10 leaf traits, including phenological, morpho-anatomical and chemical traits, were measured at the plant level (n = 274) in a greenhouse experiment.
Documents regulating the prevention, use and surveillance of antibiotic resistance in Senegal

[Lien vers la fiche source] This dataset has been produced during the situational analysis of the governance of antibiotic resistance in Senegal, conducted in the framework of the DESIGN project. It describes the characteristics of the supra-national (continental and regional) and national documents that describe the prevention, use and surveillance activities in relation to antibiotic resistance in Senegal.
SURSY data: Textual data for syndromic surveillance

[Lien vers la fiche source] Datasets produced in the context of the SURSY project to conduct syndromic surveillance for plant health (monitoring potentially new diseases (i.e. disease X) and the development of already existing diseases on new host plants). ====== Phase 1: Articles collected with PADI-web labeled by thematic categories: SV: Plant health (Santé Végétale) SA: Animal health (Santé Animale) SP: Public health (Santé Publique) Phase 2: Articles collected with PADI-web labeled by syndromic categories: VS: Syndromic surveillance (veille Syndromique) NVS: Non syndromic surveillance (Non Veille Syndromique) ====== Phase 1 Datasets: Title, Text, Thematic (SV/SA/SP), Disease, Text_without_html, Clean_text - P1-UMAP-KMeans – Articles vectorized with TF-IDF (max 10,000 features), reduced to 3D using UMAP, clustered with K-means, and selected around cluster centroids to ensure thematic balance. CSV file: data_selected_with_umap_kmeans_phase1.csv - P1-DiseaseBalanced – Balanced selection by disease within SV, then proportional sampling in SA and SP, with undersampling to maintain disease diversity. CSV file: data_selected_by_disease_phase1.csv ====== Phase 2 Datasets Text, Tokens_clean, Text_clean, Type_article (VS/NVS), Thematic (SA/SV) - P2+P1-NoDiseaseNamesRatio – Phase 2 data (with disease names) combined with a portion of Phase 1 data (without disease names) to achieve a 1:10 VS/NVS ratio. Phase 1 articles are considered NVS. CSV file: data_final_phase2.csv The P2+P1-NoDiseaseNamesRatio dataset gave the best performance and was retained as the main Phase 2 dataset Other data of Phase 2 (private): - P2-Only-WithDiseaseNames – Articles collected exclusively in Phase 2, containing disease names. CSV file: data_phase2_only_with_disease_names.csv - P2+P1-WithDiseaseNamesRatio – Phase 2 data (with disease names) combined with a portion of Phase 1 data (also with disease names) to achieve the same 1:10 ratio. CSV file: p2_with_p1_both_disease_names_public.csv - P2+P1-WithDiseaseNames-Cleaned – Data from version 3 with all disease names removed. CSV file: p2_with_p1_both_no_disease_names_public.csv
Contours des bassins versants et réseau hydrographique du Saint Paul et du Saint John au Libéria

[Lien vers la fiche source] Jeux de données SIG et débits mensuels par bassins versants d'Afrique de l'Ouest et Centrale. Les fichiers fournis sont des fichiers d'entrée des modèles (couches vecteur SIG au format shapefile) des bassins versants constituées à partir des données cartographiques des 356 bassins référencés sous la base SIEREM. [ http://www.hydrosciences.fr/sierem/produits/produits/livret.pdf] Les principales stations de mesures hydrométriques et leur période de débits mensuels observés sur les bassins versants du Saint John et Saint Paul au Libéria sont : Saint John at Baila period 1958-1978 code 1230800103 Saint Paul at Walker Bridge period 1959-1978 code 1230300104 Tous les fichiers de données sont au format ArcGIS (shapefiles) : * les contours des bassins versants sont représentés par des polygones, * le réseau hydrographique du bassin versant est représenté linéairement Pour chaque station une chronique de débits mensuels (en l/s) issus du système d'informations SIEREM complète le jeu de données (format texte)